Literature DB >> 18675482

Developing therapeutic proteins by engineering ligand-receptor interactions.

Douglas S Jones1, Adam P Silverman, Jennifer R Cochran.   

Abstract

Ligand-receptor interactions govern myriad cell signaling pathways that regulate homeostasis and ensure that cells respond properly to stimuli. Growth factors, cytokines and other regulatory elements use these interactions to mediate cell responses, including proliferation, migration, angiogenesis, immune responses and cell death. Proteins that inhibit these processes have potential as therapeutics for cancer and autoimmune disorders, whereas proteins that stimulate these processes offer promise in regenerative medicine. Although much of the focus in this area over the past decade has been on monoclonal antibodies, recently there has been increased interest in the use of non-antibody proteins as therapeutic agents. Here, we review recent advances and accomplishments in the use of rational and combinatorial protein engineering approaches to developing ligands and receptors as agonists and antagonists against clinically important targets.

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Year:  2008        PMID: 18675482     DOI: 10.1016/j.tibtech.2008.05.009

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  10 in total

Review 1.  Defining the pathway to insulin-like growth factor system targeting in cancer.

Authors:  Steven A Rosenzweig; Hanudatta S Atreya
Journal:  Biochem Pharmacol       Date:  2010-06-23       Impact factor: 5.858

2.  Expression and purification of a natural N-terminal pre-ligand assembly domain of tumor necrosis factor receptor 1 (TNFR1 PLAD) and preliminary activity determination.

Authors:  Jin Cao; Fang Meng; Xiangdong Gao; Hongxia Dong; Wenbing Yao
Journal:  Protein J       Date:  2011-04       Impact factor: 2.371

3.  Non-canonical interleukin 23 receptor complex assembly: p40 protein recruits interleukin 12 receptor β1 via site II and induces p19/interleukin 23 receptor interaction via site III.

Authors:  Jutta Schröder; Jens M Moll; Paul Baran; Joachim Grötzinger; Jürgen Scheller; Doreen M Floss
Journal:  J Biol Chem       Date:  2014-11-04       Impact factor: 5.157

4.  Engineering hepatocyte growth factor fragments with high stability and activity as Met receptor agonists and antagonists.

Authors:  Douglas S Jones; Ping-Chuan Tsai; Jennifer R Cochran
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-25       Impact factor: 11.205

5.  Engineered epidermal growth factor mutants with faster binding on-rates correlate with enhanced receptor activation.

Authors:  Jennifer L Lahti; Bertrand H Lui; Stayce E Beck; Stephen S Lee; Daphne P Ly; Michael T Longaker; George P Yang; Jennifer R Cochran
Journal:  FEBS Lett       Date:  2011-03-23       Impact factor: 4.124

6.  Design and characterization of a protein superagonist of IL-15 fused with IL-15Rα and a high-affinity T cell receptor.

Authors:  Jennifer D Stone; Adam S Chervin; Hans Schreiber; David M Kranz
Journal:  Biotechnol Prog       Date:  2012-10-18

7.  Optimization of time-resolved fluorescence assay for detection of europium-tetraazacyclododecyltetraacetic acid-labeled ligand-receptor interactions.

Authors:  Channa R De Silva; Josef Vagner; Ronald Lynch; Robert J Gillies; Victor J Hruby
Journal:  Anal Biochem       Date:  2009-10-21       Impact factor: 3.365

8.  Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions.

Authors:  Melody K Morris; Zachary Shriver; Ram Sasisekharan; Douglas A Lauffenburger
Journal:  Biotechnol J       Date:  2012-01-10       Impact factor: 4.677

9.  Utilizing combinatorial engineering to develop Tie2 targeting antagonistic angiopoetin-2 ligands as candidates for anti-angiogenesis therapy.

Authors:  Tomer Shlamkovich; Lidan Aharon; William A Barton; Niv Papo
Journal:  Oncotarget       Date:  2017-05-16

10.  Hmrbase: a database of hormones and their receptors.

Authors:  Mamoon Rashid; Deepak Singla; Arun Sharma; Manish Kumar; Gajendra P S Raghava
Journal:  BMC Genomics       Date:  2009-07-09       Impact factor: 3.969

  10 in total

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